This review synthesizes current pharmacological evidence on Copaifera spp. oleoresin and analyzes the geographic distribution of scientific production. Copaiba oleoresin is a complex biological system of sesquiterpenes and diterpenes, with β-caryophyllene standing out for its anti-inflammatory and analgesic properties mediated by the CB2 receptor. Through a scientometric analysis of the last decade, it was identified that over 80% of clinical and preclinical studies originate from Brazilian institutions, focusing on species such as C. reticulata, C. officinalis, and C. langsdorffii. Despite the genus's presence in critical ecosystems in Bolivia, Peru, and Colombia, there is a significant lack of chemical and biological characterization of local populations. The results demonstrate high efficacy of the oleoresin in wound healing and the control of chronic inflammatory diseases but warn of chemical variability subject to geographic origin. This review highlights the urgency of expanding research into underrepresented regions to ensure the safety and efficacy of natural products derived from copaiba in a global context, promoting the validation of traditional knowledge outside the Brazilian axis.

Compacted lateritic soils are the primary construction material for roads and embankments across tropical South America, sub-Saharan Africa, and South-East Asia. Repeated wetting-drying (W-D) cycles progressively weaken these fills through cohesion loss, desiccation, crack propagation and irreversible pore structure change, yet the standard compaction quality control based on dry density verification at construction does not capture this postconstruction evolution; in fact, it leaves a critical monitoring gap for the service life of tropical fills. This paper advances the proposition that the PANDA dynamic cone penetrometer (DCPt) is mechanistically vitally suited to this monitoring role. Two lines of evidence are presented. Firstly, a deep integrative synthesis of over thirty experimental, microstructural, hydraulic and penetrometric studies identifies a robust cross-study convergence where three independent research groups measuring cohesion, unconfined compressive strength (UCS) and cracking, pore structure and acoustic integrity each established that the most significant irreversible structural changes accumulate within approximately the first six W-D cycles. Secondly, the author's own preliminary PANDA experiments on MCT-classified tropical lateritic soil from the UFG Experimental Field separated dry-branch from wet-branch compaction states with a mean qd ratio of approximately 5:1, resolving moisture differences. A visual synthesis was used to present these two lines of evidence in a single conceptual framework. It is essential to note that the UFG experiments tested different moisture-conditioned compaction states and not specimens that have undergone W-D cycles. Where, again visually, this data is positioned as the N = 0 endpoints of the proposed degradation trajectories. Now, the question of whether W-D cycling drives resistance values along the trajectory connecting those endpoints is the hypothesis to be tested in the next research phase. This paper is scoped accordingly towards one claim, and it is made precisely that PANDA is mechanistically justified for this monitoring role and that preliminary evidence is consistent with the sensitivity required.

This study examines Indigenous women’s perceptions of violence, their main demands, and the extent to which Brazilian legislation ensures their rights. Using a qualitative exploratory approach based on scientific literature, institutional documents, and digital content, the findings indicate that violence in Indigenous contexts is a multidimensional phenomenon encompassing interpersonal, structural, and territorial dimensions, reflecting the inseparability between body, land, and collective existence. Indigenous women actively produce knowledge and political discourse through social movements, organizations, and digital platforms. Despite legal advances, the Brazilian framework remains insufficient, highlighting the need for culturally grounded and intersectional policies. In this context, Indigenous women mobilize around demands related to territorial rights, climate justice, the prevention of violence, and improved access to health and education, articulating a broader political project grounded in autonomy and ancestral knowledge.

The increasing integration of digital technologies in industrial and organizational environments has intensified the need to align innovation in quality management with human-centric design (HCD) principles. In this context, this study analyze the development, current status, and emerging trends in the academic literature on digitalization and innovation in quality management from a human-centric perspective. A systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews (RSL) and Meta-Analyses (PRISMA) methodology, including the stages of identification, screening, eligibility, and inclusion. Scientific publications were retrieved from the Scopus and Web of Science databases. The screening and selection process was supported by the Rayyan platform, resulting in a final sample of 20 relevant studies. To complement the systematic review, bibliometric network analyses were performed using VOSviewer software, adopting a micro-level approach to explore relationships among authors, keywords, and cited references. The bibliometric visualization enabled the identification of the most influential publications, key thematic clusters, and the intellectual structure of the research field. The results highlight the growing relevance of digital technologies such as Industry 4.0 and 5.0 tools, virtual environments, and human-cyber-physical systems in the design and improvement of quality management practices. Furthermore, the findings reveal a strong connection between user experience, worker interaction with digital systems, and innovation processes within manufacturing and service contexts. The study contributes to the understanding of how human-centric principles are being integrated into digital quality management research and provides insights for both academics and practitioners interested in designing more effective and human-oriented innovation strategies. Finally, directions for future research are discussed, particularly regarding the integration of emerging digital technologies and the measurement of human experience in quality-driven systems.

This article presents a comparative analysis of financial literacy, focusing on educational and psychological aspects, between Brazil and the Czech Republic. Utilizing a qualitative content analysis of existing literature and sociodemographic data, the study highlights distinct contextual factors influencing financial literacy levels and behaviors in both countries. Key findings reveal differences in educational strategies, levels of financial anxiety, self-efficacy, and locus of control, contributing to a nuanced understanding of financial literacy development. The research underscores the importance of tailored educational interventions and psychological support to enhance financial well-being in diverse cultural and economic settings.

This paper examines the Kremlin’s international propaganda efforts since Russia’s full-scale invasion of Ukraine, taking Brazil as a case study for such a purpose. Based on a qualitative review of scholarly articles, book chapters, media-monitoring reports and selected journalistic investigations on Brazil, Latin America and the broader Global South, the study proceeds in three steps. First, it identifies the structural factors that make Brazil an attractive target for Kremlin influence. Second, it maps the principal dissemination channels through which Russian narratives are circulated in Brazil. Third, it identifies the most common pro-Kremlin messages spread in the Brazilian information ecosystem. The paper argues that Russian influence in Brazil works heavily through the adaptation of the Kremlin’s narratives to pre-existing Brazilian political dispositions and media vulnerabilities. Brazil is a relevant target within the Kremlin’s renewed propaganda efforts directed to the Global South because it is Russia’s main trade partner in Latin America, a fellow founding BRICS member, as well as an aspiring regional leader whose traditional political and diplomatic discourse puts significant emphasis on pragmatic neutrality, negotiated conflict management, and seeking a greater voice for non-Western states in the global order. In this environment, Kremlin narratives have circulated either directly through Russian state-funded outlets such as RT and Sputnik, or indirectly through quotation and republication by domestic media actors. The most recurrent messages cast NATO and the United States as the real agents of escalation, promote pressure on Ukraine to make concessions for achieving peace, and depict Russia as a defender of a fairer multipolar order. The paper concludes that the Brazilian case illustrates a broader pattern of Russian outreach to the Global South in which pro-Kremlin narratives tend to gain traction particularly when they can attach themselves to existing grievances, political identities, and symbolic repertoires through their recontextualization inside local debates and adaptation to domestic themes.

This study examines the invisibilization of Palestinian female humanitarian workers within humanitarian contexts, focusing on the gap between their lived agency and their representation in global academic and media discourses. Adopting a qualitative approach, the research employs the Critical Discourse Analysis (CDA) alongside the case study of paramedic Razan al-Najjar, intending to investigate how the intersection of gender, nationality, and religion shapes the international portrayal of Palestinian women’s agency. The findings suggest that, despite Palestinian women’s active involvement in humanitarian action, their roles are frequently reframed through discourses of vulnerability and victimhood, which obscure their professional and political agency. This research argues that such invisibilization reflects power imbalances and calls for a rethinking of humanitarian visibility in global discourse.

The development of porous aluminium oxides is of great interest for applications in catalysts, adsorbents, and thermal coatings due their high surface area and thermal stability. This study aimed to synthesize porous aluminium Oxide (Al2O3) anostructures using polystyrene (PS) nanospheres as a porogenic agent, via chemical precipitation was characterized bybXRD, FTIR, TGA, and field-emisssion scanning electron microscopy (FE-SEM). The diffraction patters indicated the formation of transition alumina with crystallite sizes of approximately 4nm.

The recent enactment of the Brazilian Tax Reform through Constitutional Amendment N.° 132/2023 represents a fundamental step toward aligning the national tax system with global standards, particularly the European Value Added Tax model. This domestic institutional modernization coincides with the strategic signing of the 2022 Double Taxation Convention between Brazil and the United Kingdom. International double taxation arises when the domestic laws of two sovereign States apply simultaneously to the same taxpayer, which creates significant barriers to cross-border trade and capital flow. Tracing its theoretical origins back to the 1928 Model Conventions of the League of Nations, this paper examines the 2022 convention’s structural convergence with the Organisation for Economic Co-operation and Development Model Tax Convention. By adopting a Law and Economics perspective, the study highlights how standardized international conventions reduce transaction costs and foster a stable institutional environment. Furthermore, the analysis explores how the bilateral convention addresses modern corporate complexities, emphasizing the critical role of fiscal transparency and the concept of beneficial ownership in preventing treaty shopping within the Brazil-UK economic axis. The study also discusses the integration of the new Brazilian Transfer Pricing Law, which adopts the Arm’s Length Principle to ensure international consistency. While the agreement establishes a robust framework for taxes on income and capital, the paper acknowledges that specialized areas such as cross-border inheritances and donations remain subject to unilateral legislation due to distinct administrative challenges. Ultimately, the study concludes that the convention, supported by sweeping domestic tax reform, provides the essential legal certainty required to integrate Brazil more deeply into the United Kingdom's economic sphere and secure long-term bilateral investments.

As neurotechnology transitions to the commercial mainstream, electroencephalography (EEG) has emerged as a robust biometric identifier. This targeted review investigates the convergence of Deep Learning, 5G-IoT infrastructure, and Neurorights to assess the security of consumer-grade EEG biometrics. By triangulating findings across neuroscience, cybersecurity, and law, this study identifies a "Privacy Paradox": while Spatial-Temporal Transformers and Deep Neural Networks achieve identification accuracies of up to 100% across diverse mental states, the reliance on portable wearables introduces critical vulnerabilities. The analysis reveals that industries like neuromarketing frequently harvest sensitive neural data without robust encryption or an understanding of its biometric permanence. This creates a "legacy data risk" where involuntary collection leads to irreversible identity theft and subconscious intrusion via "brain-spyware." Furthermore, we examine the trade-offs between 5G latency and the computational overhead of encryption, finding that commercial deployments often prioritize user experience over data integrity. We conclude by proposing a "Neuro-Secure" framework, advocating for hardware-level encryption, edge computing, and the international adoption of Neurorights to protect cognitive liberty against the unprecedented threats posed by unregulated BCI proliferation.

Artificial intelligence (AI) has increased its influence in educational practices, particularly in the teaching of English as a Second Language (ESL). This literature review examines how AI technologies impact ESL teaching and learning in a critical manner, with an emphasis on both pedagogical benefits and emerging risks. Based on a qualitative analysis of peer-reviewed studies published between 2015 and 2024, this paper synthesizes research on intelligent tutoring systems, conversational agents, automated feedback tools, and adaptive learning platforms. The findings indicate that AI can enhance personalization, immediacy of feedback, learner autonomy, and access to resources. However, the literature also reveals significant concerns, including the erosion of human-mediated interaction, potential deskilling of learners, algorithmic bias, and limitations in pragmatic and sociocultural competence development. This review argues that the effectiveness of AI in ESL contexts depends less on the technology itself and more on its pedagogical integration. Rather than positioning AI as a substitute for teachers, this study advocates for a critical, human-centered approach in which AI functions as a scaffold that supports, but does not replace, meaningful interaction and reflective learning. The paper concludes by highlighting the need for ethically grounded and pedagogically informed implementations of AI in language education.

The following article was based on field research regarding the situations experienced by a group of seventy women which speaks to their insertion and permanence in the labor market [1]. Taking it as a basis, it is possible to state that the data collected and transformed into statistics, as well as the private testimonies of the participants, function as a powerful means for establishing connections between the selected involvements and the thoughts of authors such as Stuart Hall, Karl Marx, Fernando Coronil and Silvia Federici, who will have their ideas addressed here as a way of establishing a link between pieces of information such as the situations of exploitation, disrespect, abuse and discrimination suffered by women within and outside of employment environments and the issue of forming their identities and consequently adapting in a world that presents them with great hostility against their human persons, in addition to the constant process of degradation to which they are subjected, due to the structuring of the capitalist system and its dissemination to the four corners of the planet, paved on patriarchal values and strengthened in the West. In view of what has been presented, the main objective is to expose the nuances of these correlations in order to promote greater clarity regarding the aforementioned problems and bring light to the universalization of the truths experienced by the female group.

Employee turnover represents a critical operational and financial challenge for contemporary organizations, resulting in disrupted business processes, high replacement costs, and the depletion of institutional knowledge. While traditional statistical methods have historically supported Human Resource Management (HRM), they often fail to capture the complex, non-linear relationships inherent in human behavioral data. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized predictive HR analytics. However, the adoption of complex algorithms is hindered by the "black box" phenomenon and the ethical risks of algorithmic bias. This study presents an expanded systematic literature review, guided by the PRISMA protocol, to evaluate the intersection of ML, employee attrition, and Explainable AI (XAI). Synthesizing empirical findings from extensive peer-reviewed literature, the results demonstrate that ensemble learning models—particularly eXtreme Gradient Boosting (XGBoost) and Random Forest—consistently achieve superior predictive performance (AUC > 0.90) when combined with data balancing techniques like SMOTE. Crucially, the integration of SHAP (SHapley Additive exPlanations) resolves model opacity by quantifying the magnitude and direction of key attrition drivers, such as excessive overtime, commute distance, and compensation disparities, while highlighting age-specific nuances in turnover behaviors. Furthermore, the review addresses the dual impact of AI on Diversity, Equity, and Inclusion (DEI), emphasizing the necessity of HR Algorithmic Bias Management Capability (HABMC) to mitigate data, model, and deployment biases. Ultimately, this paper proposes a human-in-the-loop framework, ensuring that AI-augmented HRM remains transparent, equitable, and strategically effective.

The COVID-19 pandemic significantly intensified rates of anxiety, depression, and post-traumatic stress disorder (PTSD) among children and adolescents in Brazil, compounding pre-existing gaps in public mental health policy. This narrative literature review examines the historical trajectory of child and adolescent mental health care in Brazil, assesses the psychological impacts of the pandemic on young populations, and evaluates the applicability of Artificial Intelligence (AI) as a complementary tool for expanding psychiatric care. A search of the Google Scholar database, using the Publish or Perish software, identified an initial corpus of 42 titles, from which 18 peer-reviewed articles met the defined eligibility criteria. Findings indicate that AI-driven tools, including Natural Language Processing systems and chatbots such as Woebot, demonstrate measurable efficacy in reducing depressive and anxious symptoms, improving patient monitoring, and broadening access to psychoeducation. However, their integration into public health frameworks raises significant ethical considerations regarding data privacy, algorithmic bias, and the vulnerabilities of minors. It is argued that these technologies should serve as a complement to human-led psychiatric care, and that their adoption must be guided by a robust regulatory and ethical framework suited to the Brazilian context.

Digital platforms, software and social media apps have become essential tools for important aspects of daily life, such as communication and access to services and education. However, many interfaces are still designed based on standardized assumptions about attention, perception and interaction, not considering how neurodivergent people interact and understand different aspects of design elements. This study explores how inclusive graphic and interface design can improve accessibility for neurodivergent users by conducting a literature review based on design theory and international accessibility guidelines. During analysis, the findings indicate that common barriers to these users include visual overload, inconsistent navigation, poor readability, limited personalization and distracting motion. Research indicates that practical strategies to minimize stressful interface interactions such as clear visual hierarchy, consistent navigation and user-controlled interface settings benefit not only neurodivergent and disabled users, but also the general population. In conclusion, the study finds that inclusive and human-centered design should be part of the standardized design process of all digital interfaces.